An overview of soft-switching technique for flyback converters. - Xiaofei Chen; Xiaorui Liu; Yingjie Zhang; Xuecheng Zou; Shuangxi Lin (ASICON, 2015)

DeepFinger: A Cascade Convolutional Neuron Network Approach to Finger Key Point Detection in Egocentric Vision with Mobile Camera. - Yichao Huang; Xiaorui Liu; Lianwen Jin; Xin Zhang 013 (SMC, 2015)

Fingertip in the Eye: A cascaded CNN pipeline for the real-time fingertip detection in egocentric videos. - Xiaorui Liu; Yichao Huang; Xin Zhang 013; Lianwen Jin (CoRR, 2015)

Fingertip in the Eye: An Attention-Based Method for Real-Time Hand Tracking and Fingertip Detection in Egocentric Videos. - Xiaorui Liu; Yichao Huang; Xin Zhang 013; Lianwen Jin (CCPR (1), 2016)

A Pointing Gesture Based Egocentric Interaction System: Dataset, Approach and Application. - Yichao Huang; Xiaorui Liu; Xin Zhang 013; Lianwen Jin (CVPR Workshops, 2016)

Synergistic Allosteric Mechanism of Fructose-1, 6-bisphosphate and Serine for Pyruvate Kinase M2 via Dynamics Fluctuation Network Analysis. - Jingxu Yang; Hao Liu 081; Xiaorui Liu; Chengbo Gu; Ray Luo 001; Hai-Feng Chen (J. Chem. Inf. Model., 2016)

A Survey on Dialogue Systems: Recent Advances and New Frontiers. - Hongshen Chen; Xiaorui Liu; Dawei Yin; Jiliang Tang (SIGKDD Explor., 2017)

Assessment of Low-Budget Targeted Cyberattacks Against Power Systems. - Xiaorui Liu; Anastasis Keliris; Charalambos Konstantinou; Marios Sazos; Michail Maniatakos (VLSI-SoC (Selected Papers), 2018)

Analysis and Modeling Methodologies for Heat Exchanges of Deep-Sea In Situ Spectroscopy Detection System Based on ROV. - Xiaorui Liu; Fujun Qi; Wangquan Ye; Kai Cheng; Jinjia Guo; Ronger Zheng (Sensors, 2018)

Weight Loss Prediction in Social-Temporal Context. - Zhiwei Wang 001; Xiaorui Liu; Jiliang Tang; Dawei Yin (ICHI, 2019)

Deep Neural Network-Based Scale Feature Model for BVI Detection and Principal Component Extraction. - Lu Wang; Xiaorui Liu; Xiaoqing Hu; Luyang Guan; Ming Bao (SPML, 2019)

A Double Residual Compression Algorithm for Efficient Distributed Learning. - Xiaorui Liu; Yao Li 039; Jiliang Tang; Ming Yan 006 (AISTATS, 2020)

DEMO: Trustworthy Cyberphysical Energy Systems: Time-Delay Attacks in a Real-Time Co-Simulation Environment. - Juan Ospina; Ioannis Zografopoulos; Xiaorui Liu; Charalambos Konstantinou (CPSIOTSEC@CCS, 2020)

Graph Structure Learning for Robust Graph Neural Networks. - Wei Jin 009; Yao Ma 001; Xiaorui Liu; Xianfeng Tang; Suhang Wang; Jiliang Tang (KDD, 2020)

Deep Adversarial Canonical Correlation Analysis. - Wenqi Fan; Yao Ma 001; Han Xu 002; Xiaorui Liu; Jianping Wang 001; Qing Li 001; Jiliang Tang (SDM, 2020)

Epidemic Graph Convolutional Network. - Tyler Derr; Yao Ma 001; Wenqi Fan; Xiaorui Liu; Charu C. Aggarwal; Jiliang Tang (WSDM, 2020)

Deep Reinforcement Learning for Cybersecurity Assessment of Wind Integrated Power Systems. - Xiaorui Liu; Juan Ospina; Charalambos Konstantinou (IEEE Access, 2020)

A Survey of Machine Learning Methods for Detecting False Data Injection Attacks in Power Systems. - Ali Sayghe; Yaodan Hu; Ioannis Zografopoulos; Xiaorui Liu; Raj Gautam Dutta; Yier Jin; Charalambos Konstantinou (CoRR, 2020)

To be Robust or to be Fair: Towards Fairness in Adversarial Training. - Han Xu 002; Xiaorui Liu; Yaxin Li 001; Jiliang Tang (CoRR, 2020)

A Unified View on Graph Neural Networks as Graph Signal Denoising. - Yao Ma 001; Xiaorui Liu; Tong Zhao 003; Yozen Liu; Jiliang Tang; Neil Shah (CIKM, 2021)

Deep Adversarial Network Alignment. - Tyler Derr; Hamid Karimi; Xiaorui Liu; Jiejun Xu; Jiliang Tang (CIKM, 2021)

Graph Feature Gating Networks. - Wei Jin 009; Xiaorui Liu; Yao Ma 001; Tyler Derr; Charu C. Aggarwal; Jiliang Tang (CIKM, 2021)

Faster than real-time simulation: methods, tools, and applications. - Xiaorui Liu; Juan Ospina; Ioannis Zografopoulos; Alonzo Russell; Charalambos Konstantinou (MSCPES@CPSIoTWeek, 2021)

Linear Convergent Decentralized Optimization with Compression. - Xiaorui Liu; Yao Li 039; Rongrong Wang; Jiliang Tang; Ming Yan 006 (ICLR, 2021)

Elastic Graph Neural Networks. - Xiaorui Liu; Wei Jin 009; Yao Ma 001; Yaxin Li 001; Hua Liu; Yiqi Wang 001; Ming Yan 006; Jiliang Tang (ICML, 2021)

To be Robust or to be Fair: Towards Fairness in Adversarial Training. - Han Xu 002; Xiaorui Liu; Yaxin Li 001; Anil K. Jain 001; Jiliang Tang (ICML, 2021)

Graph Representation Learning: Foundations, Methods, Applications and Systems. - Wei Jin 009; Yao Ma 001; Yiqi Wang 001; Xiaorui Liu; Jiliang Tang; Yukuo Cen; Jiezhong Qiu; Jie Tang 001; Chuan Shi 001; Yanfang Ye 001; Jiawei Zhang 001; Philip S. Yu (KDD, 2021)

Adversarial Robustness in Deep Learning: From Practices to Theories. - Han Xu 002; Yaxin Li 001; Xiaorui Liu; Wentao Wang 006; Jiliang Tang (KDD, 2021)

Graph Neural Networks with Adaptive Residual. - Xiaorui Liu; Jiayuan Ding; Wei Jin 009; Han Xu 002; Yao Ma 001; Zitao Liu 001; Jiliang Tang (NeurIPS, 2021)

Yet Meta Learning Can Adapt Fast, it Can Also Break Easily. - Han Xu 002; Yaxin Li 001; Xiaorui Liu; Hui Liu 031; Jiliang Tang (SDM, 2021)

CHIMERA: A Hybrid Estimation Approach to Limit the Effects of False Data Injection Attacks. - Xiaorui Liu; Yaodan Hu; Charalambos Konstantinou; Yier Jin (SmartGridComm, 2021)

On the Feasibility of Load-Changing Attacks in Power Systems During the COVID-19 Pandemic. - Juan Ospina; Xiaorui Liu; Charalambos Konstantinou; Yury Dvorkin (IEEE Access, 2021)

Cyber-Physical Energy Systems Security: Threat Modeling, Risk Assessment, Resources, Metrics, and Case Studies. - Ioannis Zografopoulos; Juan Ospina; Xiaorui Liu; Charalambos Konstantinou (IEEE Access, 2021)

Towards the Memorization Effect of Neural Networks in Adversarial Training. - Han Xu 002; Xiaorui Liu; Wentao Wang 006; Wenbiao Ding; Zhongqin Wu; Zitao Liu 001; Anil K. Jain 001; Jiliang Tang (CoRR, 2021)

Trustworthy AI: A Computational Perspective. - Haochen Liu; Yiqi Wang 001; Wenqi Fan; Xiaorui Liu; Yaxin Li 001; Shaili Jain; Anil K. Jain 001; Jiliang Tang (CoRR, 2021)

Decentralized Composite Optimization with Compression. - Yao Li 039; Xiaorui Liu; Jiliang Tang; Ming Yan 006; Kun Yuan 001 (CoRR, 2021)

Graph Trend Networks for Recommendations. - Wenqi Fan; Xiaorui Liu; Wei Jin 009; Xiangyu Zhao 001; Jiliang Tang; Qing Li 001 (CoRR, 2021)

Multimodal Emotion Recognition Based on Feature Fusion. - Yurui Xu; Xiao Wu; Hang Su 001; Xiaorui Liu (ICARM, 2022)

Primary Study on the Face-recognition Framework with anti-spoofing function. - Xiao Wu; Dekang Zhang; Xiaorui Liu (ICDIS, 2022)

Imbalanced Adversarial Training with Reweighting. - Wentao Wang 006; Han Xu 002; Xiaorui Liu; Yaxin Li 001; Bhavani Thuraisingham; Jiliang Tang (ICDM, 2022)

Is Homophily a Necessity for Graph Neural Networks? - Yao Ma 001; Xiaorui Liu; Neil Shah; Jiliang Tang (ICLR, 2022)

Automated Self-Supervised Learning for Graphs. - Wei Jin 009; Xiaorui Liu; Xiangyu Zhao 001; Yao Ma 001; Neil Shah; Jiliang Tang (ICLR, 2022)

Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective. - Wei Jin 009; Xiaorui Liu; Yao Ma 001; Charu C. Aggarwal; Jiliang Tang (KDD, 2022)

Learning from Imbalanced Crowdsourced Labeled Data. - Wentao Wang 006; Joseph Thekinen; Xiaorui Liu; Zitao Liu 001; Jiliang Tang (SDM, 2022)

Graph Trend Filtering Networks for Recommendation. - Wenqi Fan; Xiaorui Liu; Wei Jin 009; Xiangyu Zhao 001; Jiliang Tang; Qing Li 001 (SIGIR, 2022)

Accepted Tutorials at The Web Conference 2022. - Riccardo Tommasini 001; Senjuti Basu Roy; Xuan Wang 008; Hongwei Wang; Heng Ji 001; Jiawei Han 001; Preslav Nakov; Giovanni Da San Martino; Firoj Alam; Markus Schedl; Elisabeth Lex; Akash Bharadwaj; et al. (WWW (Companion Volume), 2022)

Enhancing Adversarial Training with Feature Separability. - Yaxin Li 001; Xiaorui Liu; Han Xu 002; Wentao Wang 006; Jiliang Tang (CoRR, 2022)

Defense Against Gradient Leakage Attacks via Learning to Obscure Data. - Yuxuan Wan; Han Xu 002; Xiaorui Liu; Jie Ren 019; Wenqi Fan; Jiliang Tang (CoRR, 2022)

Alternately Optimized Graph Neural Networks. - Haoyu Han 001; Xiaorui Liu; Torkamani Ali; Feng Shi; Victor Lee; Jiliang Tang (CoRR, 2022)

Towards Fair Classification against Poisoning Attacks. - Han Xu 002; Xiaorui Liu; Yuxuan Wan; Jiliang Tang (CoRR, 2022)

Jointly Attacking Graph Neural Network and its Explanations. - Wenqi Fan; Han Xu 002; Wei Jin 009; Xiaorui Liu; Xianfeng Tang; Suhang Wang; Qing Li 001; Jiliang Tang; Jianping Wang 001; Charu C. Aggarwal (ICDE, 2023)

Federated IoT Interaction Vulnerability Analysis. - Guangjing Wang 001; Hanqing Guo; Anran Li 001; Xiaorui Liu; Qiben Yan (ICDE, 2023)

Alternately Optimized Graph Neural Networks. - Haoyu Han 001; Xiaorui Liu; Haitao Mao; MohamadAli Torkamani; Feng Shi; Victor Lee; Jiliang Tang (ICML, 2023)

LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation. - Rui Xue 006; Haoyu Han 001; MohamadAli Torkamani; Jian Pei 001; Xiaorui Liu (ICML, 2023)

How does the Memorization of Neural Networks Impact Adversarial Robust Models? - Han Xu 002; Xiaorui Liu; Wentao Wang 006; Zitao Liu 001; Anil K. Jain 001; Jiliang Tang (KDD, 2023)

Enhancing Graph Representations Learning with Decorrelated Propagation. - Hua Liu; Haoyu Han 001; Wei Jin 009; Xiaorui Liu; Hui Liu 031 (KDD, 2023)

Large-Scale Graph Neural Networks: The Past and New Frontiers. - Rui Xue 006; Haoyu Han 001; Tong Zhao 003; Neil Shah; Jiliang Tang; Xiaorui Liu (KDD, 2023)

Towards Label Position Bias in Graph Neural Networks. - Haoyu Han 001; Xiaorui Liu; Feng Shi; MohamadAli Torkamani; Charu C. Aggarwal; Jiliang Tang (NeurIPS, 2023)

Can Directed Graph Neural Networks be Adversarially Robust? - Zhichao Hou; Xitong Zhang; Wei Wang 010; Charu C. Aggarwal; Xiaorui Liu (CoRR, 2023)

Efficient Large Language Models Fine-Tuning On Graphs. - Rui Xue 006; Xipeng Shen; Ruozhou Yu; Xiaorui Liu (CoRR, 2023)

Trustworthy AI: A Computational Perspective. - Haochen Liu; Yiqi Wang 001; Wenqi Fan; Xiaorui Liu; Yaxin Li 001; Shaili Jain; Yunhao Liu 001; Anil K. Jain 001; Jiliang Tang (ACM Trans. Intell. Syst. Technol., 2023)

Dynamic scheduling for flexible job shop with insufficient transportation resources via graph neural network and deep reinforcement learning. - Min Zhang; Liang Wang; Fusheng Qiu; Xiaorui Liu (Comput. Ind. Eng., 2023)

Automated Polynomial Filter Learning for Graph Neural Networks. - Wendi Yu; Zhichao Hou; Xiaorui Liu (IEEE Big Data, 2024)

Data Quality-aware Graph Machine Learning. - Yu Wang 160; Kaize Ding; Xiaorui Liu; Jian Kang 008; Ryan A. Rossi; Tyler Derr (CIKM, 2024)

Adversarial Robustness in Graph Neural Networks: Recent Advances and New Frontier. - Zhichao Hou; Minhua Lin; MohamadAli Torkamani; Suhang Wang; Xiaorui Liu (DSAA, 2024)

A Cross-Attention Emotion Recognition Algorithm Based on Audio and Video Modalities. - Xiao Wu; Xuan Mu; Wen Qi; Xiaorui Liu (ICASSP Workshops, 2024)

Structural Fairness-aware Active Learning for Graph Neural Networks. - Haoyu Han 001; Xiaorui Liu; Li Ma 012; MohamadAli Torkamani; Hui Liu 031; Jiliang Tang; Makoto Yamada (ICLR, 2024)

Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing. - Weizhi Gao; Zhichao Hou; Han Xu; Xiaorui Liu (NeurIPS, 2024)

Robust Graph Neural Networks via Unbiased Aggregation. - Zhichao Hou; Ruiqi Feng; Tyler Derr; Xiaorui Liu (NeurIPS, 2024)

ProTransformer: Robustify Transformers via Plug-and-Play Paradigm. - Zhichao Hou; Weizhi Gao; Yuchen Shen; Feiyi Wang; Xiaorui Liu (NeurIPS, 2024)

Linear-Time Graph Neural Networks for Scalable Recommendations. - Jiahao Zhang; Rui Xue 006; Wenqi Fan; Xin Xu 002; Qing Li 001; Jian Pei 001; Xiaorui Liu (WWW, 2024)

Rethinking Large Language Model Architectures for Sequential Recommendations. - Hanbing Wang; Xiaorui Liu; Wenqi Fan; Xiangyu Zhao 001; Venkataramana Kini; Devendra Yadav; Fei Wang; Zhen Wen; Jiliang Tang; Hui Liu 031 (CoRR, 2024)

Manufacturing Service Capability Prediction with Graph Neural Networks. - Yunqing Li; Xiaorui Liu; Binil Starly (CoRR, 2024)

Graph Machine Learning in the Era of Large Language Models (LLMs). - Wenqi Fan; Shijie Wang 002; Jiani Huang 001; Zhikai Chen; Yu Song; Wenzhuo Tang; Haitao Mao; Hui Liu 031; Xiaorui Liu; Dawei Yin; Qing Li 001 (CoRR, 2024)

Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks. - Rui Xue 006; Tong Zhao 003; Neil Shah; Xiaorui Liu (CoRR, 2024)

Exploring the Potentials and Challenges of Using Large Language Models for the Analysis of Transcriptional Regulation of Long Non-coding RNAs. - Wei Wang; Zhichao Hou; Xiaorui Liu; Xinxia Peng (CoRR, 2024)

Adaptive tracking control of a nonholonomic wheeled mobile robot with multiple disturbances and input constraints. - Zhonghao Zhang; Xiaorui Liu; Wanyue Jiang (Autom., 2024)

Harnessing Robust Statistics for Trustworthy AI. - Xiaorui Liu (AAAI, 2025)

Quantifying the Risk of Out-of-Gas Conditions in Ethereum Smart Contracts. - Maryam Massoud Ahmed; Michael Lim; Xiaorui Liu; Shen-Shyang Ho; Nikolay Ivanov (ICAIC, 2025)

Robustness Reprogramming for Representation Learning. - Zhichao Hou; MohamadAli Torkamani; Hamid Krim; Xiaorui Liu (ICLR, 2025)

Graph Representation Learning and Optimization for Spherical Emission Source Microscopy System. - Xiaorui Liu; Zijie Li; Weihua Zong; Hang Su 001; Peng Liu; Shuzhi Sam Ge (IEEE Trans Autom. Sci. Eng., 2025)

ReCon1M: A Large-Scale Benchmark Dataset for Relation Comprehension in Remote Sensing Imagery. - Qiwei Yan; Chubo Deng; Chenglong Liu; Zhongyan Hou; Xiaorui Liu; Yi Jiang; Wanxuan Lu; Fanglong Yao; Xiaoyu Liu; Lingxiang Hao; Hongfeng Yu; Xian Sun (IEEE Trans. Geosci. Remote. Sens., 2025)

Boosting Adversarial Robustness and Generalization with Structural Prior. - Zhichao Hou; Weizhi Gao; Hamid Krim; Xiaorui Liu (CoRR, 2025)

Online Robot Motion Planning Methodology Guided by Group Social Proxemics Feature. - Xuan Mu; Xiaorui Liu; Shuai Guo; Wenzheng Chi; Wei Wang; Shuzhi Sam Ge (CoRR, 2025)

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey. - Bo Ni; Zheyuan Liu 010; Leyao Wang; Yongjia Lei; Yuying Zhao; Xueqi Cheng; Qingkai Zeng 001; Luna Dong; Yinglong Xia; Krishnaram Kenthapadi; Ryan A. Rossi; Franck Dernoncourt; et al. (CoRR, 2025)

Traffic Engineering in Large-scale Networks with Generalizable Graph Neural Networks. - Fangtong Zhou; Xiaorui Liu; Ruozhou Yu; Guoliang Xue (CoRR, 2025)

The Methodology of Quantitative Social Intention Evaluation and Robot Gaze Behavior Control in Multiobjects Scenario. - Haoyu Zhu; Xiaorui Liu; Hang Su 001; Wei Wang 221; Jinpeng Yu 001 (IEEE Trans. Cogn. Dev. Syst., 2025)

Unlearning Inversion Attacks for Graph Neural Networks. - Jiahao Zhang; Yilong Wang 001; Zhiwei Zhang; Xiaorui Liu; Suhang Wang (CoRR, 2025)

Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization. - Weizhi Gao; Zhichao Hou; Junqi Yin; Feiyi Wang; Linyu Peng; Xiaorui Liu (CoRR, 2025)